The Impacts Of AI-Driven Automation on the Employability of IT Graduates

Abstract

Artificial Intelligence (AI) and automation are transforming the Information Technology (IT) sector in numerous ways. These emerging technologies enhance organizational efficiency by enabling businesses to utilize their resources more effectively. However, the adoption of AI and automation also influences the skill sets expected of graduates and their employability in the IT job market. This study aims to examine the impact of AI-driven automation on the employability of IT graduates, with particular emphasis on the skills required for a successful transition from academia to the workplace. To address the research objectives, a descriptive survey research design was employed. Data were collected from 160 respondents, including current MCA and BCA students and recent graduates using structured questionnaires. The findings reveal that AI has a significant positive influence on employability. Graduates who demonstrate strong AI literacy, problem-solving abilities, adaptability, and the capacity to collaborate effectively with AI systems are highly sought after in the job market. The study also identifies a substantial gap between the competencies imparted through academic programs and the skills expected by employers. Based on the findings, the study recommends that educational institutions revise their curricula to incorporate AI-related competencies, provide experiential learning opportunities, and promote continuous upskilling and reskilling initiatives to prepare graduates for evolving workplace demands. Overall, this study contributes to a better understanding of workforce preparedness in an AI-driven and increasingly automated economy.